People in all manner of professions from economists and real estate agents to stockbrokers and doctors are beginning to recognise the huge potential and power of unconventional data.
Space tourists will need someone to show them around. This is just one of several jobs that currently don't exist but are expected to be a reality with in a decade.
Computer-aided decision-making has been shown to help in clinical contexts. But winning over doctors and patients is a different matter.
The Australian census is just one way to gather data on people. We also freely give out information in other ways that can be used to study many things, and maybe even predict an election result.
This method of crowdsourcing science legwork is ready to expand into other disciplines – and maybe the amateurs themselves can start calling some of the shots.
Machine learning is being used to see if it's possible to predict whether someone will commit a crime some time in the future. But does this risk condemning people for a crime they haven’t committed?
The writing process is different whether your instrument is a fountain pen, a crayon, a typewriter or a computer. What fingerprints does the technology leave on the product?
Until recently data was largely retrospective, telling a story of the past. Real-time feeds are revolutionary.
Most industries tap into big data these days – meaning more and more jobs are opening up in this field. Here's some background on the skills and qualities you'd use as a modern big data professional.
A new mathematical model of ISIS supporters' online behavior provides insights into how cyberactivity relates to real-world attacks.
A move by the US to open up more competition in pay-TV has sparked a debate about TV viewing data.
Our knowledge of diseases is growing exponentially, but turning knowledge into cures is proving to be a tricky business.
In an age of data-driven urban science, we need to remember how Jane Jacobs gave voice to the multiple languages, meanings, experiences and knowledge systems of a vibrant city.
Analyzing electronic data from many doctors' experiences with many patients, we can move ever closer to answering the age-old question: what is truly best for each patient?
Big data studies often use easily available user-generated data from the Internet. Researchers assume that this data offers a window into reality. It doesn't necessarily.
Big data is all well and good, but if we want medical breakthroughs, we'll need big theory too.
The Productivity Commission's inquiry into access and use of public and private data risks failing to achieve anything meaningful.
Social media is notoriously unsuitable for population studies, but these researchers have found a way to make the bias work in their favour.
Improving data quality and accessibility will provide an important platform for business, policy innovation and academic research.
If smart cities run on big data and algorithms that channel only 'relevant' information and opinions to us, how do we maintain the diversity of ideas and possibilities that drives truly smart cities?